Mrinali Modi is an OGMP 2.0 Data Analyst, specializing in emission estimation, dispersion modeling, and geospatial analysis. She holds a PhD in Chemical Engineering from the University of Texas at Austin, where she focused on developing emission inventories of criteria air pollutants at fine spatiotemporal scales, with a particular emphasis on unconventional oil and gas development.
During her PhD, Mrinali simulated dispersion of methane emissions to create digital twins of an oil and gas production regions in Permian Basin, and evaluated detection capabilities of continuous monitoring networks. She also collaborated on several environmental impact analyses, climate risk assessments, and supported the development of Greenhouse Gas emission inventories during her internship at Ramboll. Previously, Mrinali worked as a Process Engineer at Reliance Industries Ltd. in India, managing normal, shutdown, and start-up operations of a petrochemical facility, collaborating across disciplines to optimize operations and enhance workplace safety.
Proficient in air quality models such as Calpuff, AERMOD, and CAMx, and skilled in Python and R programming, Mrinali excels in handling extensive spatial datasets and creating detailed plume visualizations.